All
Contact-rich manipulation
Autonomy alignment
Fundamental methods
2025
A Differential Dynamic Programming Framework for Inverse Reinforcement Learning
IEEE Transactions on Robotics (T-RO), 2025
-xman.gif)
Whole-Body Impedance Coordinative Control of Wheel-Legged Robot on Uncertain Terrain
IEEE Robotics and Automation Letters (RA-L), 2025
Complementarity-Free Multi-Contact Modeling and Optimization for Dexterous Manipulation
Robotics: Science and Systems (RSS), 2025
ContactSDF: Signed Distance Functions as Multi-Contact Models for Dexterous Manipulation
IEEE Robotics and Automation Letters (RA-L), 2025
2024
Language-Model-Assisted Bi-Level Programming for Reward Learning from Internet Videos
arXiv preprint, 2024
Safe MPC Alignment with Human Directional Feedback
Submitted to IEEE Transactions on Robotics (T-RO), 2024
TacTID: High-performance Visuo-Tactile Sensor-based Terrain Identification for Legged Robots
IEEE Sensors Journal, 2024
Task-Driven Hybrid Model Reduction for Dexterous Manipulation
IEEE Transactions on Robotics (T-RO), 2024
Adaptive Contact-Implicit Model Predictive Control with Online Residual Learning
IEEE International Conference on Robotics and Automation (ICRA), 2024
2023
Guaranteed Stabilization and Safety of Nonlinear Systems via Sliding Mode Control
IEEE Control Systems Letters, 2023
Adaptive Barrier Smoothing for First-Order Policy Gradient with Contact Dynamics
International Conference on Machine Learning (ICML), 2023
Enforcing Hard Constraints with Soft Barriers: Safe-driven Reinforcement Learning in Unknown Stochastic Environments
International Conference on Machine Learning (ICML), 2023
Robust Safe Learning and Control in Unknown Environments: An Uncertainty-Aware Control Barrier Function Approach
IEEE Robotics and Automation Letters (RA-L), 2023
D3G: Learning Multi-robot Coordination from Demonstrations
IEEE International Conference on Intelligent Robots and Systems (IROS), 2023.
Identifying Reaction-Aware Driving Styles of Stochastic Model Predictive Controlled Vehicles by Inverse Reinforcement Learning
International Conference on Intelligent Transportation Systems (ITSC), 2023.
2022
Learning from Human Directional Corrections
IEEE Transactions on Robotics (T-RO), 2023
Cooperative Tuning of Multi-Agent Optimal Control Systems
IEEE Conference on Decision and Control (CDC), 2022
2021
Inverse Optimal Control from Incomplete Trajectory Observations
International Journal of Robotics Research (IJRR), 40:848โ865, 2021
Safe Pontryagin Differentiable Programming
Advances in Neural Information Processing Systems (NeurIPS), 2021
Human-Automation Interaction for Assisting Novices to Emulate Experts by Inferring Task Objective Functions
AIAA/IEEE 40th Digital Avionics Systems Conference (DASC) , 2021. Best Student Paper Finalist
2020
Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework
Advances in Neural Information Processing Systems (NeurIPS), 2020
2019
Inverse Optimal Control for Multiphase cost functions
IEEE Transactions on Robotics (T-RO), 35(6):1387โ1398, 2019
// Get the publication elements const publications = document.querySelectorAll(โ.pub-entryโ);
// Attach a click event listener to each label labels.forEach(label => { label.addEventListener(โclickโ, () => { // Get the filter value for the label const filter = label.getAttribute(โdata-filterโ);
// Hide all publications by default
publications.forEach(publication => publication.style.display = "none");
// Show publications that match the filter
if (filter === "") {
publications.forEach(publication => publication.style.display = "block");
} else {
const filteredPublications = document.querySelectorAll(`[data-labels*="${filter}"]`);
filteredPublications.forEach(publication => publication.style.display = "block");
}
// Add an "active" class to the clicked label and remove it from other labels
labels.forEach(l => {
if (l === label) {
l.classList.add("active");
} else {
l.classList.remove("active");
}
});
}); }); </script>